These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

146 related articles for article (PubMed ID: 38610522)

  • 1. Advancing Breast Cancer Diagnosis through Breast Mass Images, Machine Learning, and Regression Models.
    Zaylaa AJ; Kourtian S
    Sensors (Basel); 2024 Apr; 24(7):. PubMed ID: 38610522
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction and Diagnosis of Breast Cancer Using Machine and Modern Deep Learning Models.
    Devi S; Kaul Ghanekar R; Pande JA; Dumbre D; Chavan R; Gupta H
    Asian Pac J Cancer Prev; 2024 Mar; 25(3):1077-1085. PubMed ID: 38546090
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparison of Classification Success Rates of Different Machine Learning Algorithms in the Diagnosis of Breast Cancer.
    Ozcan I; Aydin H; Cetinkaya A
    Asian Pac J Cancer Prev; 2022 Oct; 23(10):3287-3297. PubMed ID: 36308351
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Role of sureness in evaluating AI/CADx: Lesion-based repeatability of machine learning classification performance on breast MRI.
    Whitney HM; Drukker K; Vieceli M; Van Dusen A; de Oliveira M; Abe H; Giger ML
    Med Phys; 2024 Mar; 51(3):1812-1821. PubMed ID: 37602841
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Application of noise-reduction techniques to machine learning algorithms for breast cancer tumor identification.
    Ahuja A; Al-Zogbi L; Krieger A
    Comput Biol Med; 2021 Aug; 135():104576. PubMed ID: 34246158
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Framework of Computer Aided Diagnosis Systems for Cancer Classification Based on Medical Images.
    El Houby EMF
    J Med Syst; 2018 Jul; 42(8):157. PubMed ID: 29995204
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Machine learning study of several classifiers trained with texture analysis features to differentiate benign from malignant soft-tissue tumors in T1-MRI images.
    Juntu J; Sijbers J; De Backer S; Rajan J; Van Dyck D
    J Magn Reson Imaging; 2010 Mar; 31(3):680-9. PubMed ID: 20187212
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Brain Hemorrhage Classification in CT Scan Images Using Minimalist Machine Learning.
    Solorio-Ramírez JL; Saldana-Perez M; Lytras MD; Moreno-Ibarra MA; Yáñez-Márquez C
    Diagnostics (Basel); 2021 Aug; 11(8):. PubMed ID: 34441383
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparison of Explainable Artificial Intelligence Model and Radiologist Review Performances to Detect Breast Cancer in 752 Patients.
    Oztekin PS; Katar O; Omma T; Erel S; Tokur O; Avci D; Aydogan M; Yildirim O; Avci E; Acharya UR
    J Ultrasound Med; 2024 Nov; 43(11):2051-2068. PubMed ID: 39051752
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A method for the automated classification of benign and malignant masses on digital breast tomosynthesis images using machine learning and radiomic features.
    Sakai A; Onishi Y; Matsui M; Adachi H; Teramoto A; Saito K; Fujita H
    Radiol Phys Technol; 2020 Mar; 13(1):27-36. PubMed ID: 31686300
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Artificial Intelligence (AI) and Nuclear Features from the Fine Needle Aspirated (FNA) Tissue Samples to Recognize Breast Cancer.
    Islam R; Tarique M
    J Imaging; 2024 Aug; 10(8):. PubMed ID: 39194990
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Artificial Intelligence in Ovarian Cancer Diagnosis.
    Akazawa M; Hashimoto K
    Anticancer Res; 2020 Aug; 40(8):4795-4800. PubMed ID: 32727807
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Mammography Image-Based Diagnosis of Breast Cancer Using Machine Learning: A Pilot Study.
    Alshammari MM; Almuhanna A; Alhiyafi J
    Sensors (Basel); 2021 Dec; 22(1):. PubMed ID: 35009746
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Novel Machine Learning Algorithm Predicts Dementia With Lewy Bodies Versus Parkinson's Disease Dementia Based on Clinical and Neuropsychological Scores.
    Bougea A; Efthymiopoulou E; Spanou I; Zikos P
    J Geriatr Psychiatry Neurol; 2022 May; 35(3):317-320. PubMed ID: 33550890
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparative analysis of features and classification techniques in breast cancer detection for Biglycan biomarker images.
    Ma'touq J; Alnuman N
    Cancer Biomark; 2024; 40(3-4):263-273. PubMed ID: 39177590
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Breast cancer prediction with transcriptome profiling using feature selection and machine learning methods.
    Taghizadeh E; Heydarheydari S; Saberi A; JafarpoorNesheli S; Rezaeijo SM
    BMC Bioinformatics; 2022 Oct; 23(1):410. PubMed ID: 36183055
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Introduction of a New Diagnostic Method for Breast Cancer Based on Fine Needle Aspiration (FNA) Test Data and Combining Intelligent Systems.
    Fiuzy M; Haddadnia J; Mollania N; Hashemian M; Hassanpour K
    Iran J Cancer Prev; 2012; 5(4):169-77. PubMed ID: 25352966
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Developing Multiagent E-Learning System-Based Machine Learning and Feature Selection Techniques.
    Hessen SH; Abdul-Kader HM; Khedr AE; Salem RK
    Comput Intell Neurosci; 2022; 2022():2941840. PubMed ID: 35140765
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Machine learning analyses can differentiate meningioma grade by features on magnetic resonance imaging.
    Hale AT; Stonko DP; Wang L; Strother MK; Chambless LB
    Neurosurg Focus; 2018 Nov; 45(5):E4. PubMed ID: 30453458
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparing machine learning algorithms to predict COVID‑19 mortality using a dataset including chest computed tomography severity score data.
    Zakariaee SS; Naderi N; Ebrahimi M; Kazemi-Arpanahi H
    Sci Rep; 2023 Jul; 13(1):11343. PubMed ID: 37443373
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.